DATAECONOMY Tech Stack

Data consultancy building platforms for enterprise data monetization and AI

Information Technology & Services Dublin, Ohio 201–500 employees Founded 2018 Privately Held

DATAECONOMY is a 201–500-person data and AI consultancy built around a heavy infrastructure and data engineering stack (Neo4j, Kafka, Spark, Terraform, Kubernetes) deployed across AWS, Azure, and GCP. The hiring mix is split evenly between data and engineering roles at senior/lead levels, reflecting a consulting delivery model that requires both platform architects and hands-on practitioners. Pain points cluster around platform stability, deployment reliability, and data governance—typical friction points when operationalizing data mesh and analytics modernization for enterprise clients.

Tech Stack 118 technologies

Core StackNeo4j Terraform Helm Trino AWS Python Java Scala Apache Spark Kafka Iceberg Delta Lake AWS RDS AWS Lambda CloudFormation Docker Kubernetes Jenkins GitLab CI/CD Cypher Starburst Presto Azure Data Lake Storage HDFS Azure GCP VPC IAM AWS EKS AWS Control Tower+87 more

What DATAECONOMY Is Building

◆Challenges

Platform stability
Deployment-related environment issues
Reliable production releases
Ensuring high availability
Improving engineering productivity
Complex data relationships
Enterprise-scale crm transformation projects
Improving business processes with data visualization
Ensuring accurate data flows into bi
Meeting compliance data governance

▲Active Projects

Scalable java-based enterprise applications
Microservices and event-driven architecture
Ci/cd implementation and cloud-native deployments
Microsoft dynamics crm solution design and implementation
Enterprise application integration with cloud platforms
Custom plugin development and power platform solutions
Interactive executive dashboards for cxo-level summary reports
Data models for business intelligence initiatives
Etl pipelines with snowflake

Hiring Activity

Accelerating10 roles · 10 in 30d

Department

Data

Engineering

Seniority

Senior

Lead

Mid

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About DATAECONOMY

DATAECONOMY delivers cloud-first data and AI consulting for enterprise clients, with core competencies in data platform modernization, data mesh design, data governance, and self-service AI platforms. The company is headquartered in Dublin, Ohio and was founded in 2018. Services span data engineering (ETL pipelines, lake house architectures), BI modernization, knowledge graphs, and cloud enablement on AWS, Azure, and GCP. The consulting model combines delivery teams (building microservices, CI/CD pipelines, CRM integrations) with IP-driven solutions—suggesting repeatable frameworks across engagements rather than pure services labor.

HeadquartersDublin, Ohio

Company Size201–500 employees

Founded2018

Hiring MarketsUnited States, India

Frequently Asked Questions

What tech stack does DATAECONOMY use?

Neo4j and Cypher for graph databases; Kafka, Spark, and Iceberg/Delta Lake for data pipelines; Starburst/Trino for query federation; Terraform, Kubernetes, and Jenkins for infrastructure and CI/CD; AWS, Azure, and GCP for cloud platforms.

Where is DATAECONOMY headquartered?

Dublin, Ohio, United States. The company also hires engineers and data professionals in India.

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How this profile is built

DATAECONOMY's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.